AI Tools provides a comprehensive introduction to Artificial Intelligence (AI) for students of all disciplines. The course introduces students to various AI tools that can enhance their academic performance and overall college experience. Students will learn how to leverage AI technologies to improve study habits, enhance research skills, and augment their creativity. Through interactive sessions and hands-on activities, students will gain practical knowledge and skills to use AI tools for academic and personal success in college.

This workshop introduces participants to IBM SPSS Statistics for data analysis. Attendees will learn how to install and license SPSS, manage datasets, perform basic statistical analyses, and interpret results. By the end of the session, participants will have the confidence to use SPSS for coursework, research, and everyday statistical tasks.

This workshop introduces participants to the art of communicating effectively with large language models. Attendees will learn the fundamentals of prompt structure, including how to write clear instructions, provide context, and use examples to guide model output. The workshop covers key concepts such as context and context windows, and how understanding these limitations can improve the quality and relevance of AI-generated responses. Participants will also explore techniques like chain-of-thought prompting, role assignment, iterative refinement, and strategies for reducing ambiguity and hallucination. Through hands-on practice, the attendees will be able to gain the skills needed to craft effective prompts for various academic or personal applications.

This monthly workshop walks participants through getting started on Unity, a high-performance computing cluster hosted at the Massachusetts Green High Performance Computing Center and available to URI researchers. Geared toward new users, the session covers requesting and setting up a Unity account, connecting to the cluster over SSH, navigating the filesystem and understanding storage and permissions, loading software modules, and submitting and monitoring jobs with SLURM. Attendees will also learn where to find documentation and how to reach the Research Computing team for further help. While the material is aimed at newcomers, the session is adapted to the experience level of those attending, so returning users are welcome to bring specific questions about their own workflows.

This series of workshops is intended for anyone using bioinformatics softwares on the UNITY high-performance computing platform. Over the course of three sessions, participants will explore softwares available on UNITY to preprocess sequencing data before analysis, perform sequence assembly and variant calling. Each workshop will include a demonstration on how to use these tools efficiently.

This workshop provides a beginner-friendly introduction to R and RStudio for data analysis and visualization. Participants will learn how to import data, perform basic data manipulation, create simple graphs, and run introductory statistical analyses. Through hands-on exercises, attendees will gain the foundational skills needed to use R for coursework and research.

This event is hybrid, hosted on Zoom or in-person at Tyler Hall 108, URI Kingston campus.

This is a new workshop presented by the University of Rhode Island AI Lab.

This workshop is presented by the University of Rhode Island AI Lab.

Join Unity facilitators for an Introduction to Unity Onboarding session!

This workshop is presented by the University of Rhode Island AI Lab.

This workshop is presented by the University of Rhode Island AI Lab.

This workshop is presented by the University of Rhode Island AI Lab.

This workshop is presented by the University of Rhode Island AI Lab.

On Wednesday, May 28th at 2pm, Unity Facilitator Benjamin Pachev will lead a workshop on installing software on Unity.

This workshop is presented by the University of Rhode Island AI Lab.

This workshop is presented by the University of Rhode Island AI Lab.